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Contact Info

Skills

Education

The University of Iowa

Ph.D. in Psychology (Behavioral and Cognitive Neuroscience), 2018

Thesis: “Brain network predictors of exercise behavior change in sedentary older adults: an emotion and decision-making perspective”

University of Illinois at Urbana-Champaign

B.S. (Honors) in Psychology (Behavioral and Cognitive Neuroscience), 2011

Publications

For a full list of my publications (15+ articles, 500+ citations), please see my Google Scholar

Disclaimer

Last updated on 2021-08-04

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Timothy Weng, PhD

Computational Neuroscientist

As a PhD-trained computational neuroscientist with 9 years of data science experience with large-scale biomedical and behavioral research data, I have the unique combination of technical skills, critical thinking aptitude, and creative problem solving abilities to produce data-driven and actionable solutions to business challenges.

Work Experience

Postdoctoral Research Fellow

Computational Neuroimaging Laboratory, Dell Medical School, The University of Texas at Austin

Austin, TX

2018 - present

  • Build, maintain, and test Python-based pipelines for processing terrabytes of multi-modal neuroimaging data on high performance computing systems
  • Aggregate multiple data streams from image processing pipelines to automatically provide data quality metrics and descriptive statistics
  • Build and deploy statistical models and machine learning algorithms in R and Python to predict brain aging from longitudinal cardiovascular health data (N = 1,000+)
  • Write documentation on using Python-based software C-PAC for different use cases
  • Identify and report software defects and work with C-PAC software engineering team to reproduce them and test patches
  • Design research experiments and manage team to implement

Consultant

Center for Biomedical Image Computing and Analytics, Perelman School of Medicine, University of Pennsylvania

Philadelphia, PA (remote)

2020 - present

  • Develop infrastructure for automated and efficient data processing pipeline for functional MRI data using cutting edge techniques
  • Provide technical support for biomedical imaging acquisition protocols
  • Educate staff on biomedical data processing

Project Experience

Graduate Researcher

Health, Brain, Cognition Laboratory, The University of Iowa

Iowa City, IA

2012-2018

  • Developed software package to optimize and automate processing of functional MRI data, reducing computational time by ~150%
  • Enabled our team to explore data, build statistical models, and publish results more quickly than previous implementation (10+ papers published using this code)
  • Completed 5 research projects that culminated in doctoral thesis using biomedical and behavioral data to predict exercise behavior change
  • Implemented multivariate analyses in R, including linear mixed effects modeling, principal components analysis, and MANCOVA
  • Utilized high performance computing cluster to execute data processing and analyses in parallel

ANC Neighbors

Austin New Church

Austin, TX

2020

  • Geospatial analysis of ~600 household addresses to connect church members across Austin metro in a data-driven fashion
  • Built Python-based application to load and extract from database and convert them to geospatial coordinates
  • Applied k-means clustering to identify geospatial clusters and classify new datapoints
  • Performed basic descriptive statistics and visualizations for geospatial clusters